Misha Mahowald
- Cognitive Neuroscience top 2%
- Electrical and Electronic Engineering top 5%
- Cellular and Molecular Neuroscience top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Rodney J. DouglasRichard H. R. HahnloserKevan A MartinH. Sebastian SeungRahul SarpeshkarChristof KochHumbert H. SuarezCarver Mead
- Topics
- Neural dynamics and brain function (12 papers)Advanced Memory and Neural Computing (8 papers)Neural Networks and Applications (5 papers)
- Journals
- NatureScienceNature Neuroscience
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Misha Mahowald
20 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Cognitive Neuroscience 1.1k
- Electrical and Electronic Engineering 794
- Cellular and Molecular Neuroscience 774
- Artificial Intelligence 468
- Computer Vision and Pattern Recognition 224
Countries citing papers authored by Misha Mahowald
This map shows the geographic impact of Misha Mahowald's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Misha Mahowald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Misha Mahowald more than expected).
Fields of papers citing papers by Misha Mahowald
This network shows the impact of papers produced by Misha Mahowald. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Misha Mahowald. The network helps show where Misha Mahowald may publish in the future.
Co-authorship network of co-authors of Misha Mahowald
This figure shows the co-authorship network connecting the top 25 collaborators of Misha Mahowald. A scholar is included among the top collaborators of Misha Mahowald based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Misha Mahowald. Misha Mahowald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 20 | |
| 3 | Digital selection and analogue amplification coexist in a cortex-inspired silicon circuitbreakdown → | 822 |
| 4 | 47 | |
| 5 | 15 | |
| 6 | Silicon neurons | 8 |
| 7 | A Spike Based Learning Neuron in Analog VLSI | 35 |
| 8 | 22 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | Recurrent Excitation in Neocortical Circuitsbreakdown → | 754 |
| 12 | 193 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 170 | |
| 16 | La retina de silicio | 1 |
| 17 | 42 | |
| 18 | 81 | |
| 19 | 10 | |
| 20 | 24 |
About Misha Mahowald
Misha Mahowald is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Graphics and Computer-Aided Design, having authored 20 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (12 papers), Advanced Memory and Neural Computing (8 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (774 citations) and Artificial Intelligence (468 citations). Misha Mahowald has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Rodney J. Douglas, Richard H. R. Hahnloser, Kevan A Martin, H. Sebastian Seung, Rahul Sarpeshkar, Christof Koch, Humbert H. Suarez, Carver Mead, Stephen P. DeWeerth and K. Hepp. Their work appears in journals such as Nature, Science and Nature Neuroscience.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.